系统仿真学报 ›› 2021, Vol. 33 ›› Issue (2): 249-261.doi: 10.16182/j.issn1004731x.joss.20-0936

• 专栏:智能认知行为建模与仿真 • 上一篇    下一篇

时空记忆模型在空间认知行为建模中的应用分析

胡越, 许凯*, 秦龙, 尹全军, 查亚兵   

  1. 国防科技大学 系统工程学院,湖南 长沙 410073
  • 收稿日期:2020-11-28 修回日期:2020-12-15 出版日期:2021-02-18 发布日期:2021-02-20
  • 通讯作者: 许凯(1990-),男,博士,讲师,研究方向为人类行为建模与意图识别。E-mail:xukai09@nudt.edu.cn
  • 作者简介:胡越(1994-),男,博士生,研究方向为定性空间表示与推理。E-mail:huyue11@nudt.edu.cn
  • 基金资助:
    国家自然科学基金(61473300)

Spatio-Temporal Memory Models in Spatial Cognitive Behavioral Modeling

Hu Yue, Xu Kai*, Qin Long, Yin Quanjun, Zha Yabing   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2020-11-28 Revised:2020-12-15 Online:2021-02-18 Published:2021-02-20

摘要: 空间环境的结构和实体活动的行为逻辑是军用仿真系统的重要建模对象,而建立符合人类认知规律的时空记忆表示与推理模型,是提高计算机生成兵力(Computer Generated Forces,CGF)行为拟人性、并提升系统运行效率的重要内容。简述了时空记忆的神经认知科学背景,梳理总结了近年来机器学习与计算智能中记忆机制的建模成果。依据感知-判断-规划-执行的OODA (Observe-Orient-Decide-Act)循环设计了一个通用的空间认知行为建模框架,提出了时空记忆机制在定性空间表示、态势理解与预测、在线规划等不同阶段的应用前景,能对不同层次和应用需求下CGF的空间表示与推理认知行为建模提供指导。

关键词: 计算机生成兵力, 空间认知行为建模, 时空记忆机制, 态势认知

Abstract: It is crucial for military simulation systems to model the layouts of spatial environments and the temporal logic of entity activities. To improve the human-likeness of Computer Generated Forces (CGFs) and the runtime efficiency of the systems, building spatio-temporal memory representations and reasoning mechanisms that accord to mankind cognition is required. The neuro cognition science background of spatio-temporal memory is presented, and the related work on modeling the memory in deep learning and computational intelligence communities is summarized. Following the OODA (Observe-Orient-Decide-Act) loop, a general framework of spatial cognitive behavioral modeling is designed and the application of spatio-temporal memory in different phases including qualitative spatial representations, situation comprehension and projection, online planning and acting is proposed. The framework can guide the effective modeling of spatial representations and reasonings for CGFs.

Key words: computer generated forces, spatial cognitive behavioral modeling, spatio-temporal memory, situation awareness

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